Brief Introduction
Learn data analysis basics for working with biomedical big data with practical hands-on examples using R.Description
This course provides a broad foundation of statistical terms and concepts as well as an introduction to the R statistical software package. The topics covered are fundamental components of biostatistical methods used in both omics and population health research.
Working with biomedical big data presents many challenges; familiarity with common statistical terms and definitions, and understanding basic statistical theory will help you overcome those challenges.
Topic-specific information and examples will be followed by self-assessment opportunities for you to gauge your understanding. In addition, practice datasets and exercises will be provided for you to improve your R programming skills.
Knowledge
- Basic R Programming
- How to create and interpret graphical summaries of data
- Basic inferential statistics including parametric and nonparametric methods
Learning Path: R: Complete Machine Learning & Deep Learning
- 4.2
-
![]()
![]()
![]()
![]()
![]()
Unleash the true potential of R to unlock the hidden layers of data Are you looking to gain in-depth knowledge of machine learning and deep learning?...
Learn iOS 9 and Swift 2 From Scratch - Build Real World Apps
- 4.1
-
![]()
![]()
![]()
![]()
![]()
Discover How to Build iOS 9 and Swift 2 Applications From a Real World Perspective. Build a High Paid Career Course Updated 7 July 2016...
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
- 4.8
-
![]()
![]()
![]()
![]()
![]()
It's the age of machine learning. Want to tap that potential? And for that reason, data scientists aren't the only ones who need to learn the fundamentals....
Remote Sensing Image Acquisition, Analysis and Applications
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles....
